NeuroCAD
Intelligence to Structure.
NeuroCAD is a next-generation CAD kernel built on implicit geometry (Signed Distance Fields) with B-Rep hybrid capabilities. It represents a fundamental rethinking of CAD architecture — where truth is the construction graph and field, not the mesh.
With 42 modules across 5 tiers, NeuroCAD covers parametric modeling, simulation (FEA/CFD/CAM), generative design, real-time collaboration, and AI-assisted design through the NACP protocol.
AI-Native Protocol (NACP)
Intent-based design commands. Natural language → parametric features.
Hybrid Geometry
B-Rep + F-Rep/SDF seamlessly mixed. Traditional and generative in one kernel.
GPU-Accelerated Solver
WebGPU compute shaders. 10x faster constraint solving.
Semantic Feature Recognition
ML-powered detection of holes, pockets, slots, threads from STEP imports.
Live Collaboration (CRDT)
Google Docs for 3D CAD. Automerge-based, zero conflicts.